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  <div class="section" id="module-tvm.runtime.ndarray">
<span id="tvm-runtime-ndarray"></span><h1>tvm.runtime.ndarray<a class="headerlink" href="#module-tvm.runtime.ndarray" title="永久链接至标题">¶</a></h1>
<p>Runtime NDArray API</p>
<dl class="py class">
<dt class="sig sig-object py" id="tvm.nd.NDArray">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">tvm.nd.</span></span><span class="sig-name descname"><span class="pre">NDArray</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">handle</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_view</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#tvm.nd.NDArray" title="永久链接至目标">¶</a></dt>
<dd><p>Lightweight NDArray class of TVM runtime.</p>
<p>Strictly this is only an Array Container (a buffer object)
No arthimetic operations are defined.
All operations are performed by TVM functions.</p>
<p>The goal is not to re-build yet another array library.
Instead, this is a minimal data structure to demonstrate
how can we use TVM in existing project which might have their own array containers.</p>
<dl class="py property">
<dt class="sig sig-object py" id="tvm.nd.NDArray.dtype">
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dtype</span></span><a class="headerlink" href="#tvm.nd.NDArray.dtype" title="永久链接至目标">¶</a></dt>
<dd><p>此数组的类型</p>
</dd></dl>

<dl class="py property">
<dt class="sig sig-object py" id="tvm.nd.NDArray.device">
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">device</span></span><a class="headerlink" href="#tvm.nd.NDArray.device" title="永久链接至目标">¶</a></dt>
<dd><p>Device of this array</p>
</dd></dl>

<dl class="py method">
<dt class="sig sig-object py" id="tvm.nd.NDArray.same_as">
<span class="sig-name descname"><span class="pre">same_as</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#tvm.nd.NDArray.same_as" title="永久链接至目标">¶</a></dt>
<dd><p>Check object identity equality</p>
<dl class="field-list simple">
<dt class="field-odd">参数</dt>
<dd class="field-odd"><p><strong>other</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(在 Python v3.10)"><em>object</em></a>) – 与之比较的其它目标</p>
</dd>
<dt class="field-even">返回</dt>
<dd class="field-even"><p><strong>same</strong> – Whether other is same as self.</p>
</dd>
<dt class="field-odd">返回类型</dt>
<dd class="field-odd"><p><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(在 Python v3.10)">bool</a></p>
</dd>
</dl>
</dd></dl>

<dl class="py method">
<dt class="sig sig-object py" id="tvm.nd.NDArray.copyfrom">
<span class="sig-name descname"><span class="pre">copyfrom</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">source_array</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#tvm.nd.NDArray.copyfrom" title="永久链接至目标">¶</a></dt>
<dd><p>Peform an synchronize copy from the array.</p>
<dl class="field-list simple">
<dt class="field-odd">参数</dt>
<dd class="field-odd"><p><strong>source_array</strong> (<em>array_like</em>) – 我们要复制的数据源。</p>
</dd>
<dt class="field-even">返回</dt>
<dd class="field-even"><p><strong>arr</strong> – Reference to self.</p>
</dd>
<dt class="field-odd">返回类型</dt>
<dd class="field-odd"><p><a class="reference internal" href="#tvm.nd.NDArray" title="tvm.nd.NDArray">NDArray</a></p>
</dd>
</dl>
</dd></dl>

<dl class="py method">
<dt class="sig sig-object py" id="tvm.nd.NDArray.asnumpy">
<span class="sig-name descname"><span class="pre">asnumpy</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#tvm.nd.NDArray.asnumpy" title="永久链接至目标">¶</a></dt>
<dd><p>Convert this array to numpy array. This API will be deprecated in TVM v0.8 release.
Please use <cite>numpy</cite> instead.</p>
</dd></dl>

<dl class="py method">
<dt class="sig sig-object py" id="tvm.nd.NDArray.numpy">
<span class="sig-name descname"><span class="pre">numpy</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#tvm.nd.NDArray.numpy" title="永久链接至目标">¶</a></dt>
<dd><p>Convert this array to numpy array</p>
<dl class="field-list simple">
<dt class="field-odd">返回</dt>
<dd class="field-odd"><p><strong>np_arr</strong> – The corresponding numpy array.</p>
</dd>
<dt class="field-even">返回类型</dt>
<dd class="field-even"><p><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(在 NumPy v1.21)">numpy.ndarray</a></p>
</dd>
</dl>
</dd></dl>

<dl class="py method">
<dt class="sig sig-object py" id="tvm.nd.NDArray.copyto">
<span class="sig-name descname"><span class="pre">copyto</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">target</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#tvm.nd.NDArray.copyto" title="永久链接至目标">¶</a></dt>
<dd><p>Copy array to target</p>
<dl class="field-list simple">
<dt class="field-odd">参数</dt>
<dd class="field-odd"><p><strong>target</strong> (<a class="reference internal" href="#tvm.nd.NDArray" title="tvm.nd.NDArray"><em>NDArray</em></a>) – The target array to be copied, must have same shape as this array.</p>
</dd>
</dl>
</dd></dl>

<dl class="py property">
<dt class="sig sig-object py" id="tvm.nd.NDArray.shape">
<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#tvm.nd.NDArray.shape" title="永久链接至目标">¶</a></dt>
<dd><p>Shape of this array</p>
</dd></dl>

<dl class="py method">
<dt class="sig sig-object py" id="tvm.nd.NDArray.to_dlpack">
<span class="sig-name descname"><span class="pre">to_dlpack</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#tvm.nd.NDArray.to_dlpack" title="永久链接至目标">¶</a></dt>
<dd><p>Produce an array from a DLPack Tensor without copying memory</p>
<dl class="field-list simple">
<dt class="field-odd">返回</dt>
<dd class="field-odd"><p><strong>dlpack</strong></p>
</dd>
<dt class="field-even">返回类型</dt>
<dd class="field-even"><p>DLPack tensor view of the array data</p>
</dd>
</dl>
</dd></dl>

</dd></dl>

<dl class="py function">
<dt class="sig sig-object py" id="tvm.nd.array">
<span class="sig-prename descclassname"><span class="pre">tvm.nd.</span></span><span class="sig-name descname"><span class="pre">array</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">cpu(0)</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#tvm.nd.array" title="永久链接至目标">¶</a></dt>
<dd><p>Create an array from source arr.</p>
<dl class="field-list simple">
<dt class="field-odd">参数</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>arr</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(在 NumPy v1.21)"><em>numpy.ndarray</em></a>) – The array to be copied from</p></li>
<li><p><strong>device</strong> (<a class="reference internal" href="runtime.html#tvm.runtime.Device" title="tvm.runtime.Device"><em>Device</em></a><em>, </em><em>optional</em>) – The device device to create the array</p></li>
</ul>
</dd>
<dt class="field-even">返回</dt>
<dd class="field-even"><p><strong>ret</strong> – The created array</p>
</dd>
<dt class="field-odd">返回类型</dt>
<dd class="field-odd"><p><a class="reference internal" href="#tvm.nd.NDArray" title="tvm.nd.NDArray">NDArray</a></p>
</dd>
</dl>
</dd></dl>

<dl class="py function">
<dt class="sig sig-object py" id="tvm.nd.empty">
<span class="sig-prename descclassname"><span class="pre">tvm.nd.</span></span><span class="sig-name descname"><span class="pre">empty</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'float32'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">cpu(0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mem_scope</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#tvm.nd.empty" title="永久链接至目标">¶</a></dt>
<dd><p>Create an empty array given shape and device</p>
<dl class="field-list simple">
<dt class="field-odd">参数</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>shape</strong> (<em>tuple of int</em>) – The shape of the array.</p></li>
<li><p><strong>dtype</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#type" title="(在 Python v3.10)"><em>type</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(在 Python v3.10)"><em>str</em></a>) – The data type of the array.</p></li>
<li><p><strong>device</strong> (<a class="reference internal" href="runtime.html#tvm.runtime.Device" title="tvm.runtime.Device"><em>Device</em></a>) – The device of the array.</p></li>
<li><p><strong>mem_scope</strong> (<em>Optional</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(在 Python v3.10)"><em>str</em></a><em>]</em>) – The memory scope of the array.</p></li>
</ul>
</dd>
<dt class="field-even">返回</dt>
<dd class="field-even"><p><strong>arr</strong> – The array tvm supported.</p>
</dd>
<dt class="field-odd">返回类型</dt>
<dd class="field-odd"><p><a class="reference internal" href="#tvm.nd.NDArray" title="tvm.nd.NDArray">tvm.nd.NDArray</a></p>
</dd>
</dl>
</dd></dl>

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